Scientific investigations have to deal with rapidly growing amounts of data from simulations and experiments. During data analysis, scientists typically want to extract subsets o...
Alexandru Romosan, Doron Rotem, Arie Shoshani, Der...
This paper describes the principles of an original adaptive interconnect for a computational cluster. Torus topology (2d or 3d) is used as a basis but nodes are allowed to effecti...
Background: There are some limitations associated with conventional clustering methods for short time-course gene expression data. The current algorithms require prior domain know...
The min-sum k-clustering problem is to partition a metric space (P, d) into k clusters C1, . . . , Ck ⊆ P such that k i=1 p,q∈Ci d(p, q) is minimized. We show the first effi...
Sysman is a system management infrastructure for clusters and data centers similar to the /proc file system. It provides a familiar yet powerful interface for the management of se...